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Evaluating on out-of-distribution samples · Files on Ouro

2y

Evaluating on out-of-distribution samples

Overview

Attribution

Use vision capabilities to understand images

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2y

15 uses

Create variations of an existing image

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2y

2 uses

Generate 3D assets from a single 2D input image

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2y

1 use

Generate a short video from an image

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2y

1 use

Image-to-image generation for controlled variations of existing images or sketches

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2y

1 use

Convert an image to a different format

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7mo

Compress an image

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7mo

You've seen it all

Stats

Dimensions: 800 × 800
Size: 37.53 KB
Type: .png file
Downloads: 0

Cutting the dataset to train a model only on samples below 100 K, we test the model's ability to predict on materials with true Tc greater than 100 and the results are not good.

Connections

1

Referenced by

Orb latent space to Tc prediction
After reading the MatterSim paper, the authors proposed the idea of using the MLFF's latent space as a direct property prediction feature set. Earlier, @will and I had been thinking about using a VAE

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